Luc Rey-Bellet

93 total papers · 2.0k total citations
38 papers, 663 citations indexed

About

Luc Rey-Bellet is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Statistics and Probability. According to data from OpenAlex, Luc Rey-Bellet has authored 38 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistical and Nonlinear Physics, 13 papers in Mathematical Physics and 12 papers in Statistics and Probability. Recurrent topics in Luc Rey-Bellet's work include Advanced Thermodynamics and Statistical Mechanics (12 papers), Theoretical and Computational Physics (9 papers) and Markov Chains and Monte Carlo Methods (9 papers). Luc Rey-Bellet is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (12 papers), Theoretical and Computational Physics (9 papers) and Markov Chains and Monte Carlo Methods (9 papers). Luc Rey-Bellet collaborates with scholars based in United States, Germany and Switzerland. Luc Rey-Bellet's co-authors include Claude‐Alain Pillet, Jean‐Pierre Eckmann, Lawrence E. Thomas, Markos A. Katsoulakis, Lai-Sang Young, Konstantinos Spiliopoulos, Petr Plecháč, Sung‐Ha Hwang, Andrea R. Nahmod and Vojkan Jakšić and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Computational Physics and IEEE Transactions on Information Theory.

In The Last Decade

Luc Rey-Bellet

36 papers receiving 622 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Luc Rey-Bellet 375 184 130 107 104 38 663
C. Boldrighini 244 0.7× 344 1.9× 101 0.8× 116 1.1× 195 1.9× 56 649
Alexander Elgart 210 0.6× 293 1.6× 444 3.4× 37 0.3× 60 0.6× 31 686
J. Fritz 176 0.5× 360 2.0× 39 0.3× 204 1.9× 283 2.7× 28 613
Izaak Neri 446 1.2× 155 0.8× 138 1.1× 85 0.8× 204 2.0× 32 666
Hans Koch 477 1.3× 261 1.4× 43 0.3× 18 0.2× 133 1.3× 36 741
L. S. Lucena 302 0.8× 148 0.8× 38 0.3× 34 0.3× 226 2.2× 69 757
M. Cassandro 206 0.5× 426 2.3× 102 0.8× 211 2.0× 435 4.2× 52 780
William G. Faris 206 0.5× 485 2.6× 158 1.2× 48 0.4× 74 0.7× 40 792
José A. Cañizo 207 0.6× 121 0.7× 36 0.3× 27 0.3× 145 1.4× 42 734
T. Bodineau 439 1.2× 297 1.6× 121 0.9× 161 1.5× 361 3.5× 21 663

Countries citing papers authored by Luc Rey-Bellet

Since Specialization
Citations

This map shows the geographic impact of Luc Rey-Bellet's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Luc Rey-Bellet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Rey-Bellet more than expected).

Fields of papers citing papers by Luc Rey-Bellet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luc Rey-Bellet. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luc Rey-Bellet. The network helps show where Luc Rey-Bellet may publish in the future.

Co-authorship network of co-authors of Luc Rey-Bellet

This figure shows the co-authorship network connecting the top 25 collaborators of Luc Rey-Bellet. A scholar is included among the top collaborators of Luc Rey-Bellet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luc Rey-Bellet. Luc Rey-Bellet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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